I am a Consulting Member of Technical Staff at Oracle, specializing in AI/ML infrastructure. I build the parts of AI systems that make production possible—from infrastructure and deployment pipelines to inference layers and platforms that keep models reliable, scalable, and usable.
My work spans distributed systems, machine learning platforms, AI platforms, and agentic systems, with a focus on the engineering decisions that turn promising models into dependable products.
I studied at Carnegie Mellon University and the Indian Institute of Technology (BHU). Through my writing, research, experiments, talks, and patent work, I explore a consistent question: How can we scale AI systems without losing sight of how they behave and operate in the real world?